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Veridu vs Decispher Memory

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Veridu compared with Decispher Memory
DetailVeridu logo VeriduDecispher Memory logo Decispher Memory
What it doesVerification for code your AI agent writes Persistent memory for AI coding agents that persists across sessions and tools
StageMVP MVP
FoundedNot given 2026
Based inUS Not given
Pricing modelFreemium Free trial
PricingFree: $0, 20 free reviews per month on public GitHub repos, no card required. Solo: $25/month ($20/month billed annually), includes 20 reviewed changes per month, private repo access, full reviewer catalog. Team: $25/user/month ($20 billed annually, 3 seat minimum), 20 reviewed changes per seat mont Early access, enabled per company while onboarding founding teams. 50 free credits on signup, no credit card required.
Key features
  • Change-impact analysis showing callers, implementations, and removed code references
  • Two independent reviewers (Codex and Claude) with parallel verification and reconciliation
  • Five surfaces: MCP, CLI, Web, GitHub App, API
  • MCP integration for agent verification before commit
  • GitHub App for automatic pull request reviews
  • Grounded findings with file, line, and evidence for each issue
  • Per-review model selection on paid plans
  • No repository connection required; only files from the agent are read
  • Code review artifact retention and export
  • Preferences injected into every session on every AI coding tool
  • Three scopes: personal, project, and company
  • Auditable receipt for every memory injection
  • Owner-editable and hard-deletable memories on demand
  • Import from existing ChatGPT or Claude exports
  • Engineering and general modes for non-engineering teams
  • Works with Claude Code, Cursor, Codex and Grok Build
  • Private stays private, every serve leaves a receipt
  • Memories filtered per scope, not hidden in UI
  • No credit card required to start
What makes it different
  • Checks code context outside the diff, not just the change itself
  • Dual independent reviewer reconciliation catches contradictions humans need to judge
  • Only grounded findings block; AI certainty is not enough
  • Does not train on customer code and never will
  • Integrates with coding agents before commit to catch issues early
  • Solves the hidden tax of repeating the same instructions to AI agents every session
  • Keeps personal preferences private while maintaining team and company policies
  • Reduces context window token usage by 2.7x compared to raw history
  • Immediate deletion with bodyless receipts for audit compliance
  • Attached to you, not to a vendor's session store
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check3 no change since last check
Trust Flow (Majestic)14
Citation Flow (Majestic)2522
Referring domains (Majestic)2040

6 details filled in for both companies.

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